The continuing monitoring and surveying of the nearby space to detect Near Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of the threats that this kind of objects impose on the future of our planet. We need more computational resources and advanced algorithms to deal with the exponential growth of the digital cameras' performances and to be able to process (in near real-time) data coming from large surveys. This paper presents a software platform called NEARBY that supports automated detection of moving sources (asteroids) among stars from astronomical images. The detection procedure is based on the classic "blink" detection and, after that, the system supports visual analysis techniques to validate the moving sources, assisted by static and dynamical presentations.
Augmented reality combines the virtual world with the real world by superimposing various digital objects on top of real objects. This type of technology brings many benefits to education, including making it easier to accumulate new information or boosting memory capacity. We propose to develop an augmented reality-based game with the aim of facilitating learning and understanding of methods for determining oxidation numbers and equating redox equations. The paper presents the development steps that have been followed in the realization of this project, from the definition of the application context to the actual implementation.
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